Machine learning software engineer állások Németországban (it programozás, fejlesztés)

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

• Together with your multi-functional team you fully own the libraries you work on.
• We improve the platform architecture to integrate current and future standard processes.
• You contribute to a high standard of quality, robustness, and security in code and the development process.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• You assess and understand the scope and use case of complex software applications.
• You analyze software requirements and interface documentation, then design the appropriate architecture.
• You implement and integrate software for distributed systems.

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
• Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• You will support on extracting, loading and processing (cleaning and transforming) complex data across different industries
• You will use your technical expertise to develop, test and deploy ML models based

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring
• Design and execute complex pricing experiments and A/B tests, analyzing results and providing strategic recommendations to leadership